Customer expectations have already undergone a digital transformation. New trends continually lead to demand for new product categories, and the desire for greater convenience has created more options and purchasing channels. These developments make it harder to extract meaningful information out of historical data. Meanwhile, the emergence of new agile competitors and faster deliveries have compressed available lead times.

Antuit generates highly accurate demand signals for high-volume and long-tail products by applying new AI-based and traditional time-series-based algorithms to current and historical data, from both internal and external sources. Automation handles mundane tasks, such as data cleansing and transformation, while machine learning algorithms handle complex work, such as continuously adapting model parameters.

Our big data-capable central demand repository enables you to leverage a single source of truth, as it hosts all demand drivers and provides a fully reconciled forecast at different levels of aggregation. As the highly accurate forecast propagates throughout the enterprise, the benefits of lower forecast error and less manual effort multiply.

  • Demand Forecasting

    Demand forecasting

    Demand Forecasting

    Understand demand better. That’s the key to a customer-centric strategy. With digital first players wowing customers with speed and agility, you require an accurate forecast to retain market share and grow. Antuit leverages a combination of traditional time-series and modern machine learning techniques to extract predictive patterns in your data. We then deploy solutions that can learn and self-tune to generate an accurate forecast.

    Whether you’re a consumer goods company trying to improve your forecast for planning or a retailer making a pre-season buy or open-to-buy decisions, Antuit’s AI-driven forecast can enhance service levels and reduce costs. Our solutions have demonstrated 20-30% improvement in forecast accuracy for customers with an existing statistical forecasting function. 

  • Demand Sensing

    Demand sensing

    Demand Sensing

    The demand forecast generated for sales and operation planning, or other tactical functions, leverages available insights at the time of generation – typically a month in advance and at a monthly or weekly granularity. Moving closer to actual demand execution, the forecast signal is required at a granular bucket to move inventory.

    Traditional approaches, including disaggregation of the monthly forecast to a daily forecast or using time-series analysis to generate short-term daily forecasts, result in inaccurate demand signals and cause out-of-stock. Antuit utilizes advanced AI techniques, such as long short-term memory (LSTM) and recurrent neural networks (RNN), to optimize the aggregated forecast by factoring the most recent and relevant signals, like weather, inventory, POS data, actual promotional off-take, cannibalization, and new product performance.

    Our results speak for themselves. Our accurate day-level short-term operational forecast achieves error rates as low as 5%.

  • On-shelf Availability

    On-shelf availability

    On-shelf Availability

    Competition emerges from unconventional sources in the digital world. As brands compete for customer attention and shelf-space, having the right product at the right place is critical to long-term growth and profitability.

    Unfortunately, the customer fill rate measured by consumer goods companies often doesn’t translate into on-shelf availability due to planogram non-compliance, presentation issues, backroom inventory not being transferred to shelves, and store layout changes.

    Working with world-class consumer goods companies, we’ve combined our domain expertise and advanced analytics capabilities to build an AI toolkit that can predict the probability of on-shelf availability with over 85% accuracy. Even better, the model can highlight potential reasons for products being out-of-stock.

  • Perfect
    Order

    Perfect order

    Perfect Order

    For consumer goods companies delivering direct-to-store, growth and profitability depend on having the right product at the right store at the right time. Generating an accurate forecast is the critical first step, but doesn’t necessarily translate to the right product on the shelf.

    To put the accurate forecast to work, you need the ability to take the rest of the organization, including the sales team, along the journey. Since third-party providers often man the last mile, you must simplify order fulfillment and related processes to ensure adoption.

    Antuit's Perfect Order solution reduces inventory by 15%, provides 2-3% service level improvement and achieves a 5-10% reduction in product returns.

  • Central Demand Hub

    Central demand hub

    Central Demand Hub

    As a retailer or consumer goods company, you’re working on understanding demand drivers and how to improve forecast accuracy. If you’re evaluating machine learning and modern data platform solutions, you’re on the right path.

    Currently, demand drivers, such as promotion data, store display information and external social data, are often spread across multiple systems with little to no governance. In addition, forecasts generated and used by various functions, from planning and replenishment to sourcing and financial analysis, have different sets of input data and assumptions. This leads to disconnected decisions across the organization.

    Antuit's central demand hub utilizes a modern data platform to create a single repository for demand drivers. These demand drivers are used by our predictive analytics toolkits to generate demand forecasts at various levels of product and location hierarchies. For all organization functions, the central demand hub acts as the single source of truth for demand forecasting.

Deliver measurable financial results

Tap into our deep expertise and proprietary forecasting analytics platform for big improvements in key business levers.

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